FN Archimer Export Format
PT J
TI A unified framework to model the potential and realized distributions of invasive species within the invaded range
BT 
AF HATTAB, Tarek
   GARZON-LOPEZ, Carol X.
   EWALD, Michael
   SKOWRONEK, Sandra
   AERTS, Raf
   HOREN, Helene
   BRASSEUR, Boris
   GALLET-MORON, Emilie
   SPICHER, Fabien
   DECOCQ, Guillaume
   FEILHAUER, Hannes
   HONNAY, Olivier
   KEMPENEERS, Pieter
   SCHMIDTLEIN, Sebastian
   SOMERS, Ben
   VAN DE KERCHOVE, Ruben
   ROCCHINI, Duccio
   LENOIR, Jonathan
AS 1:1;2:1;3:2;4:3;5:4;6:1;7:1;8:1;9:1;10:1;11:3;12:4;13:5;14:2;15:6;16:5;17:7,8;18:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;
C1 Univ Picardie Jules Verne, UR Ecol & Dynam Syst Anthropises, EDYSAN, FRE CNRS UPJV 3498, Amiens, France.
   Karlsruhe Inst Technol, Inst Geog & Geoecol, Karlsruhe, Germany.
   FAU Erlangen Nuremberg, Inst Geog, Erlangen, Germany.
   Katholieke Univ Leuven, Biol Dept, Leuven, Belgium.
   VITO Flemish Inst Technol Res, Mol, Belgium.
   Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium.
   Univ Trento, Ctr Agr Food Environm, Michele Alladige, Italy.
   Univ Trento, Ctr Integrat Biol, Povo, Italy.
C2 UNIV PICARDIE JULES VERNE, FRANCE
   UNIV KARLSRUHE, GERMANY
   UNIV ERLANGEN NURNBERG, GERMANY
   UNIV KATHOLIEKE LEUVEN, BELGIUM
   VITO, BELGIUM
   UNIV KATHOLIEKE LEUVEN, BELGIUM
   UNIV TRENTO, ITALY
   UNIV TRENTO, ITALY
IF 4.614
TC 50
UR https://archimer.ifremer.fr/doc/00398/50980/51738.pdf
   https://archimer.ifremer.fr/doc/00398/50980/51745.pdf
LA English
DT Article
DE ;alien species;biological invasions;dispersal limitations;potential niche;realized niche;species distribution modelling;virtual species
AB Aim: To propose a species distribution modelling framework and its companion "iSDM" R package for predicting the potential and realized distributions of invasive species within the invaded range. Location: Northern France. Methods: The non-equilibrium distribution of invasive species with the environment within the invaded range affects the environmental representativeness of species presence-absence data collected from the field and introduces uncertainty in observed absences as these may either reflect unsuitable sites or be incidental. To address these issues, we here propose an environmental systematic sampling design to collect presence-absence data from the field and a probability index to sort and subsequently separate environmental absences (EAs: reflecting environmentally unsuitable sites) from dispersal-limited absences (DLAs: reflecting sites out of dispersal reach). We first conducted a comprehensive test based on a virtual species to evaluate the performance of our framework. Then, we applied it on different life stages of a non-native tree species (Prunus serotina Ehrh.) invasive in Europe. Results: Regarding the potential distribution, we found higher model performances for both the virtual species (true skill statistics (TSS) > 0.75) and P. serotina (TSS >= 0.68) after carefully selecting absences with a low probability to be DLAs compared with classical models that incorporate both EAs and DLAs (e.g. TSS = 0.11 for P. serotina with 80% of DLAs). On the contrary, both EAs and DLAs as well as dispersal-related covariates were needed to capture the realized distribution of both the virtual species and P. serotina. Main Conclusions: Our framework helps overcoming the conceptual and methodological limitations of the disequilibrium in species' distribution models inherent to invasive species and enables managers to robustly estimate both the realized and potential distributions of invasive species. Although more relevant for modelling the distribution of non-native species, this framework can also be applied to native species. 
PY 2017
PD JUN
SO Diversity And Distributions
SN 1366-9516
PU Wiley
VL 23
IS 7
UT 000403888700009
BP 806
EP 819
DI 10.1111/ddi.12566
ID 50980
ER

EF